How do we recognize objects despite changes in their appearance? The past three decades
have been witness to intense debates regarding both whether objects are encoded …

Human experts constitute pattern classes of natural objects based on their observed
appearance. Automatic systems for pattern recognition may be designed on a structural …

The automated identification of biological objects or groups has been a dream among
taxonomists and systematists for centuries. However, progress in designing and …

Highlights•Object representation is intermediate between parts-based and holistic
descriptions.•Intrinsic dimensionality of object representations is approximately one …

It is widely assumed that distributed bell‐shaped tuning (eg Radial Basis functions)
characterizes the shape selectivity of macaque inferior temporal (IT) neurons, analogous to …

Actions and events are central to a semantics of natural language. In this article, we present
a cognitively based model of these notions. After giving a general presentation of the theory …

Visual object recognition is often assumed to be insensitive to changes in retinal position,
leading to theories and formal models incorporating position-independent object …

Visual recognition of objects is an impressively difficult problem that biological systems solve
effortlessly. We consider two aspects of this ability. First, is the recognition of all objects …

Neurons in the inferior temporal cortex (IT) of the macaque fire more strongly to some
shapes than others, but little is known about how to characterize this shape tuning more …

In this study, we show that humans form highly similar perceptual spaces when they explore
complex objects from a parametrically defined object space in the visual and haptic …